Key Analysis: Principal Component Analysis
Principal Component Analysis is a powerful tool used for exploratory analyses with large datasets. Watch this series to learn more.
Course Content
Principal Component Analysis (PCA) in Prism
INSIDE THE VIDEO
This video introduces Principal Component Analysis, or PCA, a powerful tool used for exploratory analyses with large datasets.
LENGTH
6 Minutes
When to Use Principal Component Analysis (PCA) in Prism
INSIDE THE VIDEO
Principal Component Analysis is a powerful tool for data exploration and dimension reduction. If you have a dataset that you’re attempting to analyze, this video will help you decide if PCA is an appropriate tool.
LENGTH
6 Minutes
How Principal Component Analysis (PCA) Works
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For many scientists, PCA is a black box technique. In this lesson, we delve into the primary method underneath PCA, which is the Singular Value Decomposition.
LENGTH
5 Minutes
Fitting a Principal Component Analysis (PCA) Model
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This lesson walks you through the choices that you’ll need to make to fit a PCA model in Prism.
Understanding Your Principal Component Analysis Results
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There are a lot of output options for PCA, and in this lesson, we walk you through how to interpret the output. This includes tables of outputted information as well as useful graphics.
LENGTH
5 Minutes
Principal Components Regression (PCR)
INSIDE THE VIDEO
If your data has too many columns and not enough rows to fit linear regression, PCR may be a good solution. It first fits PCA and then fits PCR on the principal components. Watch this video to learn more.
LENGTH
6 Minutes
Analyze, graph and present your scientific work easily with GraphPad Prism. No coding required.